Nutrient dataset development via FAO/INFOODS approach for infant nutritional survey in rural Matiari, Pakistan
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ABSTRACT:
SUBMITTER: Soomro S
PROVIDER: S-EPMC11287758 | biostudies-literature | 2024 Sep
REPOSITORIES: biostudies-literature
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Project description:BackgroundIn early 2021, the 10-valent Pneumococcal conjugate vaccine (PCV10) was replaced with 13-valent (PCV13) by the federal directorate of immunization (FDI), Pakistan. We assessed the impact of a higher valent vaccine, PCV13, on the serotype distribution of nasopharyngeal carriage in rural Pakistan.MethodsChildren <2 years were randomly selected from two rural union councils of Matiari, Sindh in Pakistan between September-October,2022. Clinical, sociodemographic and vaccination histories were recorded. Nasopharyngeal swabs were collected and processed at Infectious Disease Research Laboratory, Aga Khan University, Karachi. Whole genome sequencing was performed on the culture positive isolates.ResultsOf the 200 children enrolled, pneumococcus was detected in 140(70 %) isolates. Majority of age-eligible children (60.1 %,110/183) received 3 PCV13 doses. PCV10 carriage declined from 13.2 %(78/590) in 2017/18 to 7.2 % (10/140) in 2022, additional PCV13 serotypes (3, 6A/6C and 19A) decreased from 18.5 %(109/590) to 11.4 %(16/140) while non-PCV13 serotypes increased from 68.3 %(403/590) to 81.4 %(114/140). There were 88.5 %(n = 124), 80.7 %(n = 113), 55.0 %(n = 77), and 46.0 %(n = 65) isolates predicted to be resistant to cotrimoxazole, penicillin(meningitis cut-off), tetracycline, and erythromycin respectively.ConclusionReplacing PCV10 with PCV13 rapidly decreased prevalence of PCV13 carriage among vaccinated children in Matiari, Pakistan. Vaccine-driven selection pressure may have been responsible for the increase of non-PCV13 serotypes.
| S-EPMC11413484 | biostudies-literature
Project description:BackgroundFood insecurity (FI) is alarmingly high in developing countries including Pakistan. A quarter of Pakistan's population consists of adolescents yet there is no information on their experience of FI. FI at adolescent age have long term effect on mental and physical health hence we aimed to determine the prevalence of food insecurity (FI) among adolescents and compare it with household FI, and assess social determinants of adolescent FI.MethodsA cross-sectional survey on 799 households with unmarried adolescents was conducted from September 2015 to June 2016 in three union councils of Hyderabad, Pakistan. Unmarried 10-19 years old girls and boys were interviewed regarding their FI status using Household Food Insecurity Assessment Scale (HFIAS). Household-level FI was also assessed by interviewing mothers of adolescents, and it was compared with adolescent's FI. Association of adolescent's FI with socio-demographic determinants was explored through Cox regression using STATA version 14.0. and prevalence ratios were estimated.ResultsFI was found among 52.4% of the adolescents compared to 39% of the households. Thirty percent of the adolescents were food insecure within the food secure households. Female adolescents were found to be less food insecure (Adjusted Prevalence Ratio (APR) 0.4 95% CI [0.3, 0.5]) compared to males. Social determinants like socioeconomic status (SES), crowding index or education of parents were not associated with adolescents' FI.ConclusionHalf of the adolescents were found to be food insecure which raises concerns regarding their health in the long run. Gender is an important social determinant of FI among adolescents which suggests an in-depth exploration of social dynamics of adolescent FI. We recommend the mixed-methods study to develop contextually relevant interventions to reduce FI among this group and improve their health status.
| S-EPMC7098077 | biostudies-literature
Project description:The relationship between environmental factors and child health is not well understood in rural Pakistan. This study characterized the environmental factors related to the morbidity of acute respiratory infections (ARIs), diarrhea, and growth using geographical information systems (GIS) technology. Anthropometric, address and disease prevalence data were collected through the SEEM (Study of Environmental Enteropathy and Malnutrition) study in Matiari, Pakistan. Publicly available map data were used to compile coordinates of healthcare facilities. A Pearson correlation coefficient (r) was used to calculate the correlation between distance from healthcare facilities and participant growth and morbidity. Other continuous variables influencing these outcomes were analyzed using a random forest regression model. In this study of 416 children, we found that participants living closer to secondary hospitals had a lower prevalence of ARI (r = 0.154, p < 0.010) and diarrhea (r = 0.228, p < 0.001) as well as participants living closer to Maternal Health Centers (MHCs): ARI (r = 0.185, p < 0.002) and diarrhea (r = 0.223, p < 0.001) compared to those living near primary facilities. Our random forest model showed that distance has high variable importance in the context of disease prevalence. Our results indicated that participants closer to more basic healthcare facilities reported a higher prevalence of both diarrhea and ARI than those near more urban facilities, highlighting potential public policy gaps in ameliorating rural health.
| S-EPMC8583418 | biostudies-literature
Project description:BackgroundEach year, almost 35% of children are exposed to maternal depression and more grow up in persistent poverty, increasing the risk for stress-related disease and other socio-developmental deficits later in life. These impacts are likely related to chronic stress via the hypothalamic-pituitary-adrenal (HPA) axis. However, there is little evidence relating early windows of child HPA axis activity to multiple exposures.MethodsWe investigated chronic measures of hair-derived HPA axis hormones (cortisol and dehydroepiandrosterone (DHEA)) in 104 one-year old infants from rural Pakistan and longitudinal measures of maternal depression, intimate partner violence (IPV), socio-economic status (SES), and the home environment.ResultsEstimates from adjusted linear mixed effects models did not reveal consistent significant associations between infant cortisol and maternal depression or home adversities. By contrast, infants exposed to maternal depression during pregnancy had lower DHEA levels (ß= -0.18 95% confidence interval [CI]: -0.34, -0.02) as did those whose mothers experienced multiple types of IPV (ß=-4.14 95% CI: -7.42, -0.79) within one year postpartum. Higher SES had a significant positive association with infant DHEA levels (ß= 0.77 95% CI: 0.08, 1.47). Depression severity and chronicity at one year postpartum had near significant associations with infant DHEA. Measures of home environment had no observable impacts on infant HPA axis activity.LimitationsLimitations include the modest sample size and aggregation of hair samples for analysis.ConclusionResults point to possible early HPA axis dysregulation driven by changes in DHEA activity, but not cortisol at one year of age. Findings contribute to growing research examining intergenerational transmissions of maternal depression, IPV, and household environment on infant stress-response systems.
| S-EPMC7792907 | biostudies-literature
Project description:Development during the first two years of life is critical and has a lasting impact on a child's health. Poor infant and child nutrition can lead to deficiencies in essential micronutrients, which may cause a weakened immune system and lasting effects on children's growth and development. Recent studies in rural Shaanxi Province found an anemia prevalence of 54.3% among rural children aged six to twelve months. While new large-scale, quantitative research has begun to catalogue the extent of child malnutrition and anemia, no effort has yet been made to look more closely at the potential reasons for rural children's nutritional deficiencies through qualitative analysis. This study aims to elucidate some of the fundamental causes of poor complementary feeding practices that may lead to anemia among children in rural Shaanxi Province, China.We interviewed sixty caregivers participating in a large survey on child health and nutrition. We conducted three waves of interviews with children's primary caregivers in seventeen rural villages within four nationally-designated poverty counties in the southern part of Shaanxi Province.The qualitative analysis reveals that poor complementary feeding practices are common across our sample. Information gathered from our interviews suggests that complementary feeding practices are impeded by two constraints: absence of understanding topics related to infant health and nutrition under caregivers, as well as inadequate sources of information on these topics. Poverty does not appear to constrain child feeding practices.Our results uncover lack of proper knowledge on infant and child nutrition among rural caregivers in China. This situation causes them to fail incorporating micronutrient rich foods in their children's diet. Age-appropriate complementary feeding can stimulate children's physical and cognitive development, but in its absence it leads to iron-deficiency anemia. We suggest that steps be taken to educate caregivers to improve complementary feeding of their infants and children.
| S-EPMC4830571 | biostudies-other
Project description:IntroductionUndernutrition during pregnancy is linked to adverse pregnancy and birth outcomes and has downstream effects on the growth and development of children. The gut microbiome has a profound influence on the nutritional status of the host. This phenomenon is understudied in settings with a high prevalence of undernutrition, and further investigation is warranted to better understand such interactions.Methods and analysisThis is a prospective, longitudinal observational study to investigate the relationship between prokaryotic and eukaryotic microbes in the gut and their association with maternal body mass index (BMI), gestational weight gain, and birth and infant outcomes among young mothers (17-24 years) in Matiari District, Pakistan. We aim to enrol 400 pregnant women with low and normal BMIs at the time of recruitment (<16 weeks of gestation). To determine the weight gain during pregnancy, maternal weight is measured in the first and third trimesters. Gut microbiome dynamics (bacterial and eukaryotic) will be assessed using 16S and 18S rDNA surveys applied to the maternal stool samples. Birth outcomes include birth weight, small for gestational age, large for gestational age, preterm birth and mortality. Infant growth and nutritional parameters include WHO z-scores for weight, length and head circumference at birth through infancy. To determine the impact of the maternal microbiome, including exposure to pathogens and parasites on the development of the infant microbiome, we will analyse maternal and infant microbiome composition, micronutrients in serum using metallomics (eg, zinc, magnesium and selenium) and macronutrients in the stool. Metatranscriptomics metabolomics and markers of inflammation will be selectively deployed on stool samples to see the variations in dietary intake and maternal nutritional status. We will also use animal models to explore the bacterial and eukaryotic components of the microbiome.Ethics and disseminationThe study is approved by the National Bioethics Committee (NBC) in Pakistan, the Ethics Review Committee (ERC) at Aga Khan University and the Research Ethics Board (REB) at the Hospital for Sick Children, and findings will be published in peer-reviewed journals.Trial registration numberNCT05108675.
| S-EPMC11331926 | biostudies-literature
Project description:BackgroundPakistan introduced Ten-valent pneumococcal-conjugate-vaccine PCV10 in 2012 as a 3 + 0 schedule without catch-up.MethodsChildren <2 years old in Matiari, Sindh provided nasopharyngeal swabs between 2014 and 2018, which were cultured for pneumococcus and serotyped through multiplex PCR at the Aga Khan University Hospital. Carriage rates over time for Vaccine-Type (VT) and Non-VT (NVT) serotypes were used to estimate direct, indirect, total and overall effects of vaccination. Regression analysis was used to determine factors associated with VT carriage.ResultsPneumococcus was detected in 2370/3140 (75%). VT carriage decreased overall, 16.1-9.6% (p-trend <0.001); vaccinated (all 3 doses of PCV10 received) 11.3-8.1% (p-trend 0.031) and unvaccinated (no PCV10 dose received) 17.4-10.3% (p-trend 0.003) with a decline in serotypes 6B, 9V/9A and 19F. Immunization increased from 41.0% to 68.4% (p-trend 0.001). Direct effect of vaccine was 32.8% (95% CI 14.7-47.0%) and indirect effect 44.6%(95% CI 40.6-48.6%). Factors associated with decreased VT colonization were education 1-5 years (aOR 0.7, 95%CI 0.6-1.0), history of difficulty breathing (aOR 0.7, 95%CI 0.5-1.0), exposure to smoke (aOR 0.8, 95% CI 0.6-1.0), child fully immunized (aOR 0.7, 95%CI 0.5-1.0) and enrolled in 3rd (aOR 0.6, 95%CI 0.4-0.8) and 4th (aOR 0.6, 95%CI 0.5-0.9) year of the study whereas history of runny nose (aOR 1.5, 95% CI 1.2-1.9) was positively associated.ConclusionsDecrease in VT pneumococcal carriage in vaccinated and unvaccinated children indicates herd immunity. Sustained increase in vaccine coverage and close long-term surveillance is warranted.
| S-EPMC7910277 | biostudies-literature
Project description:ObjectivesThe study estimated the shortages of oncology medicines in Pakistan, their causes, impacts, mitigation strategies, and possible interventions.DesignCross-sectional survey.SettingOncology pharmacists working at 43 oncology settings (out of 80) from five regions of Pakistan (four provinces (Punjab, Sindh, Khyber Pakhtunkhwa and Baluchistan) and one federal territory (Islamabad)) were approached.ParticipantsOncology pharmacists with more than 1 year of experience were selected using stratified random sampling, and data were collected using a questionnaire from September 2021 to January 2022.Primary and secondary outcome measuresTo estimate the prevalence of oncology medicine shortages in Pakistan and establish recommendations to overcome them.ResultsOf 167 responded pharmacists, 87% experienced shortages in their practice. Most respondents (50%) experienced both oncology and support agent shortages. It was a current problem in hospitals (58%) and increased with time, but the situation varied across regions (p=0.007). Mainly shortages occur half-yearly (p=0.001) and last for <3 months. Injectable (56.8%) and branded drugs (44.9%) were short. The most frequently mentioned drugs affected by shortages were etoposide, paclitaxel, dacarbazine, bleomycin and carboplatin. Usually, distributors (51.5%) notify the pharmacists about the shortages, and federal agencies (36%) are responsible for these shortages. Distributors (53.4%) were the main source of supply, and shortages were encountered by them as well. The impacts included delayed care (25%) and suboptimal outcomes (23%) on patients, extra time (32%) for staff, prioritisation issues (31%) for pharmacists, delayed clinical trials (60.5%) and increased drugs prices (52.1%). Some hospitals have reporting systems (39.5%) and recording (29.3%) drug shortages. The shortages were managed using available alternative options (21%) and redistributing (21%) the currently available stock.ConclusionPakistan's healthcare system is affected by oncology medicine shortages. The government should establish a cancer registry and drug shortage platform, revise drug prescribing/pricing policies and practice penalties for breaching regulations. Oncology medicines must be widely available to avoid the grey market.
| S-EPMC10510916 | biostudies-literature
Project description:BackgroundThe Global Nutrition Target of reducing low birthweight (LBW) by ≥30% between 2012 and 2025 has led to renewed interest in producing accurate, population-based, national LBW estimates. Low- and middle-income countries rely on household surveys for birthweight data. These data are frequently incomplete and exhibit strong "heaping." Standard survey adjustment methods produce estimates with residual bias. The global database used to report against the LBW Global Nutrition Target adjusts survey data using a new MINORMIX (multiple imputation followed by normal mixture) approach: 1) multiple imputation to address missing birthweights, followed by 2) use of a 2-component normal mixture model to account for heaping of birthweights.ObjectivesTo evaluate the performance of the MINORMIX birthweight adjustment approach and alternative methods against gold-standard measured birthweights in rural Nepal.MethodsAs part of a community-randomized trial in rural Nepal, we measured "gold-standard" birthweights at birth and returned 1-24 mo later to collect maternally reported birthweights using standard survey methods. We compared estimates of LBW from maternally reported data derived using: 1) the new MINORMAX approach; 2) the previously used Blanc-Wardlaw adjustment; or 3) no adjustment for missingness or heaping against our gold standard. We also assessed the independent contribution of multiple imputation and curve fitting to LBW adjustment.ResultsOur gold standard found 27.7% of newborns were LBW. The unadjusted LBW estimate based on maternal report with simulated missing birthweights was 14.5% (95% CI: 11.6, 18.0%). Application of the Blanc-Wardlaw adjustment increased the LBW estimate to 20.6%. The MINORMIX approach produced an estimate of 26.4% (95% CI: 23.5, 29.3%) LBW, closest to and with bounds encompassing the measured point estimate.ConclusionsIn a rural Nepal validation dataset, the MINORMIX method generated a more accurate LBW estimate than the previously applied adjustment method. This supports the use of the MINORMIX method to produce estimates for tracking the LBW Global Nutrition Target.
| S-EPMC8891178 | biostudies-literature
Project description:This article introduces a dataset that presents not only the income of informal labourers in Vietnam's northern mountainous regions but also rural labourers' characteristics and the factors affecting rural labourers' income. The data collection was conducted in five provinces: Tuyen Quang, Quang Ninh, Ha Giang, Yen Bai, and Bac Giang. Farmers and labourers without labour contracts in rural regions are the target groups. A total of 750 survey questionnaires were equally distributed across five provinces through the snowball sampling method; in all, data from 725 collected questionnaires were selected for analysis. The dataset was collected through a three-part survey. Nominal, ordinal, and scale were used in the survey questionnaire. Tables and bar charts present data outputs. Analysis of the data provided insight into the correlation between the rural labourers' income and factors that may prove beneficial for researchers and provincial policymakers interested in, and in charge of, social development in rural areas. The dataset was obtained as a reference source for intensive studies on socio-economic development in rural regions.
| S-EPMC8377422 | biostudies-literature